Python for Data Science:

PKR 6000

What you'll learn

  • How to install and use Python via jupyter notebook
  • Understanding the basic syntax and structure of the Python programming language.
  • Familiarization with basic data types such as numbers, strings, lists, dictionaries and conditional statements
  • Familiarization with user defined functions for code optimization
  • Learning how to use Python libraries and modules for machine learning

Course Description

Welcome to a 2 day Python for Data Science workshop! In today’s data-driven world, Python has become one of the most popular programming languages for data analysis and manipulation. This beginner-level workshop is designed to introduce you to the basics of Python programming and how to use it for data science.

Throughout this workshop, we will cover the fundamental concepts of Python programming, including data types, variables, loops, functions, and conditional statements. We will also explore how to use Python libraries such as NumPy, Pandas, and Matplotlib to analyze and visualize data. By the end of this workshop, you will have a solid foundation in Python programming and data analysis, which will enable you to perform basic data analysis tasks using Python.

Whether you are an aspiring data scientist or looking to expand your programming skills, this workshop is an excellent opportunity to learn and apply Python for data analysis. So let’s get started and dive into the exciting world of Python programming for data science!

Course Content

l. Introduction to Python 

ll. Python Basics 

  • Variables and data types
  • Operators and expressions
  • Control structures
  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Functions
  • Built-in functions
  • User-defined functions
  • Function parameters and arguments
  • Input and output operations
  • Error handling and exceptions

III. Python Data Structures 

  • Lists
  • Tuples
  • Dictionaries

lV. Python Standard Library and Modules for Data Analysis

  • Importing and using Pandas & Numpy

V. Practical Exercises and Mini-Assignments


Sarmad Bilal

Sarmad Bilal is working as Software Engineer at atomcamp. He also provides trainings in Python Programming and Data Literacy. Sarmad has done his BSc Software Engineering from GIFT University. 

Sarmad Bilal

Mahnoor Salman

Mahnoor Salman

Mahnoor Salman has completed her Bachelors in Electrical Engineering, specializing in electronics, from Air University Islamabad. She also holds an MBA from NUST, Islamabad. In addition to her academic qualifications, Mahnoor has pursued numerous data analytics courses from IBM, demonstrating her commitment to continuous learning and professional development. Currently, Mahnoor works as a machine learning engineer at atomcamp, where she applies her skills and expertise in the field. Moreover, she shares her knowledge by teaching Python and Maths to aspiring data science students in bootcamps.

Only 15 seats are available.
Participants will be selected on a first come first serve basis.

Participants must bring their own laptops.